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2020 – today
- 2024
[c25]Andrea Tonon
, Bora Caglayan, MingXue Wang, Peng Hu, Fei Shen, Puchao Zhang:
Shrec: a Sre Behaviour Knowledge Graph Model for Shell Command Recommendations. SANER 2024: 406-416- [i1]Andrea Tonon, Bora Caglayan, MingXue Wang, Peng Hu, Fei Shen, Puchao Zhang:
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations. CoRR abs/2408.05592 (2024) - 2021
- [j9]Boriana Rukanova, Yao-Hua Tan, Micha Slegt, Marcel Molenhuis, Ben van Rijnsoever, Jonathan Migeotte, Mathieu L. M. Labare, Krunoslav Plecko, Bora Caglayan, Gavin Shorten, Otis van der Meij, Suzanne Post:
Identifying the value of data analytics in the context of government supervision: Insights from the customs domain. Gov. Inf. Q. 38(1): 101496 (2021)
2010 – 2019
- 2019
- [j8]Klaas-Jan Stol, Bora Caglayan, Brian Fitzgerald:
Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective. IEEE Trans. Software Eng. 45(3): 237-260 (2019) - [c24]Konstantinos Loupos, Bora Caglayan, Alexandros Papageorgiou, Basile Starynkevitch, Franck Védrine, Christos Skoufis, Stelios Christofi, Bill Karakostas, Antonis Mygiakis, George Theofilis, Andrea Chiappetta, Harris Avgoustidis, George Boulougouris:
Cognition Enabled IoT Platform for Industrial IoT Safety, Security and Privacy - The CHARIOT Project. CAMAD 2019: 1-4 - [c23]Boriana Rukanova, Yao-Hua Tan, Micha Slegt, Marcel Molenhuis, Ben van Rijnsoever, Krunoslav Plecko, Bora Caglayan, Gavin Shorten:
Value of Big Data Analytics for Customs Supervision in e-Commerce. EGOV 2019: 288-300 - [e1]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - 2018
- [j7]Shirin Akbarinasaji, Bora Caglayan, Ayse Bener:
Predicting bug-fixing time: A replication study using an open source software project. J. Syst. Softw. 136: 173-186 (2018) - [c22]Teodora Sandra Buda, Bora Caglayan, Haytham Assem:
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. PAKDD (1) 2018: 577-588 - [c21]Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan:
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. ECML/PKDD (3) 2018: 222-237 - [c20]Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener:
The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). SANER 2018: 471 - 2017
- [j6]Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener:
The relationship between evolutionary coupling and defects in large industrial software. J. Softw. Evol. Process. 29(4) (2017) - 2016
- [j5]Bora Çaglayan, Ayse Basar Bener:
Effect of developer collaboration activity on software quality in two large scale projects. J. Syst. Softw. 118: 288-296 (2016) - [c19]Mayy Habayeb, Behjat Soltanifar, Bora Caglayan, Ayse Basar Bener:
A Novel Point of Interest (POI) Location Based Recommender System Utilizing User Location and Web Interactions. BigDataService 2016: 121-130 - [c18]Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun:
A metric suite proposal for logical dependency. WETSoM@ICSE 2016: 57-63 - [c17]Behjat Soltanifar, Shirin Akbarinasaji, Bora Caglayan, Ayse Basar Bener, Asli Filiz, Bryan M. Kramer:
Software Analytics in Practice: A Defect Prediction Model Using Code Smells. IDEAS 2016: 148-155 - [p3]Ayse Bener, Burak Turhan, Ayse Tosun, Bora Caglayan, Ekrem Kocaguneli:
A success story in applying data science in practice. Perspectives on Data Science for Software Engineering 2016: 85-90 - 2015
- [j4]Jeffrey C. Carver, Bora Çaglayan, Mayy Habayeb, Birgit Penzenstadler, Aiko Yamashita:
Collaborations and Code Reviews. IEEE Softw. 32(5): 27-29 (2015) - [j3]Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy:
Predicting defective modules in different test phases. Softw. Qual. J. 23(2): 205-227 (2015) - [c16]Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini:
Merits of Organizational Metrics in Defect Prediction: An Industrial Replication. ICSE (2) 2015: 89-98 - [p2]Ayse Bener, Ayse Tosun Misirli, Bora Caglayan, Ekrem Kocaguneli, Gul Calikli:
Lessons Learned from Software Analytics in Practice. The Art and Science of Analyzing Software Data 2015: 453-489 - 2014
- [b1]Bora Çaglayan:
An issue recommender model using the developer collaboration network (Yazılım geliştirici ortak çalışma ağı kullanan hata raporu öneri modeli). Boğaziçi University, Turkey, 2014 - [c15]Parisa Lak, Bora Çaglayan, Ayse Basar Bener:
The Impact of Basic Matrix Factorization Refinements on Recommendation Accuracy. BDC 2014: 105-112 - [c14]Serkan Kirbas, Alper Sen, Bora Caglayan, Ayse Bener, Rasim Mahmutogullari:
The effect of evolutionary coupling on software defects: an industrial case study on a legacy system. ESEM 2014: 6:1-6:7 - [c13]Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini:
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. ESEM 2014: 27:1-27:8 - [c12]Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Factors affecting team evolution during software projects. CHASE 2014: 16-23 - [c11]Serkan Kirbas, Alper Sen, Bora Çaglayan, Ayse Bener:
Değişiklik Bağlaşımı ve Yazılım Hataları İlişkisinin İncelenmesi. UYMS 2014 - [p1]Ayse Tosun Misirli, Ayse Bener, Bora Çaglayan, Gül Çalikli, Burak Turhan:
Field Studies - A Methodology for Construction and Evaluation of Recommendation Systems in Software Engineering. Recommendation Systems in Software Engineering 2014: 329-355 - 2013
- [j2]Ayse Tosun Misirli, Bora Caglayan, Ayse Bener, Burak Turhan:
A Retrospective Study of Software Analytics Projects: In-Depth Interviews with Practitioners. IEEE Softw. 30(5): 54-61 (2013) - [c10]Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Emergence of developer teams in the collaboration network. CHASE@ICSE 2013: 33-40 - 2012
- [j1]Bora Caglayan, Ayse Bener:
Issue ownership activity in two large software projects. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-7 (2012) - [c9]Gul Calikli, Ayse Bener, Bora Caglayan, Ayse Tosun Misirli:
Modeling Human Aspects to Enhance Software Quality Management. ICIS 2012 - [c8]Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener:
Factors characterizing reopened issues: a case study. PROMISE 2012: 1-10 - [c7]Bora Caglayan, Ayse Tosun Misirli, Gul Calikli, Ayse Bener, Turgay Aytac, Burak Turhan:
Dione: an integrated measurement and defect prediction solution. SIGSOFT FSE 2012: 20 - 2011
- [c6]Ekrem Kocaguneli, Ayse Tosun Misirli, Bora Caglayan, Ayse Basar Bener:
Experiences on Developer Participation and Effort Estimation. EUROMICRO-SEAA 2011: 419-422 - [c5]Ayse Tosun Misirli, Bora Çaglayan, Andriy V. Miranskyy, Ayse Bener, Nuzio Ruffolo:
Different strokes for different folks: a case study on software metrics for different defect categories. WETSoM 2011: 45-51 - [c4]Serdar Biçer, Ayse Basar Bener, Bora Çaglayan:
Defect prediction using social network analysis on issue repositories. ICSSP 2011: 63-71 - 2010
- [c3]Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo:
Usage of multiple prediction models based on defect categories. PROMISE 2010: 8 - [c2]Salifu Alhassan, Bora Caglayan, Ayse Basar Bener:
Do More People Make the Code More Defect Prone?: Social Network Analysis in OSS Projects. SEKE 2010: 93-98
2000 – 2009
- 2009
- [c1]Ekrem Kocaguneli, Ayse Tosun, Ayse Basar Bener, Burak Turhan, Bora Caglayan:
Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool. SEKE 2009: 637-642
Coauthor Index
aka: Ayse Bener
aka: Ayse Tosun
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